Introduction to Information Retrieval

This lecture covers the fundamentals of information retrieval, including text-based retrieval, vector space retrieval, evaluating retrieval systems, inverted index, distributed retrieval, query expansion, probabilistic retrieval, latent semantic indexing, word embeddings, and link-based ranking. It explains the basic approach to information retrieval, the computation of the IR function, retrieval models, document features, similarity functions, and the difference between Boolean and ranked retrieval. The lecture also discusses the importance of relevance in retrieval models and the distinction between information retrieval and browsing.